Tenders are invited for Orbital Maneuvering Enabled by Gauging Aggregate Properties (Omega) - Expro plus To develop robust time-varying guidance and control strategies for in-orbit servicing assemblyusing predictive dynamical models.This activity is part of the mini project Spacecraft Clustering Technologies. This mini-project aims at developing technologies to attach multiple defunct spacecraft to a controlled large orbital structure with the double goal of securing the spacecraft materials for future use, while at the same time removing the risk of collision. The operational Spacecraft Clustering scenario foresees a tug that departing from a large orbital structure, approaches and captures a defunct spacecraft. The tug returns to the orbital structure, attaches the defunct spacecraft to the structure, and provides the structure with orbital maneuvering ability.The tug GNC system will need to handle large changes in the mass distribution, structural flexibility and environmental perturbations introduced by contact, manipulator movement or propellant transfer. In these cases, the system dynamic variations are significant and static linear feedback strategies are insufficient to ensure good pointing performance and disturbance rejection. Multivariable robust and linear-parameter varying control provides a strong framework to address these challenges.Furthermore, for a large variety of manoeuvres expected during in-orbit servicing assembly, the resulting disturbances can be anticipated using a sufficiently accurate predictive model of the dynamics (as input to feed-forward control). However, obtaining such accurate models is not a trivial task since the physical phenomena involved in robotic in-orbit servicing or assembly missions are highly nonlinear.To overcome such challenges, modern methods (including machine learning) can be combined with online system identification and parameter estimation strategies to produce physically meaningful predictive models together with uncertainty bounds.This activity aims at enabling the stabilisation of spacecraft assemblies (either servicer + serviced spacecraft or elements of a structure under construction) for the benefit of a wide range of future in-orbit servicing and assembly missions.This activity encompasses the following tasks:- Literature survey- Scenario requirements definition- Development of learning enhanced robust and adaptable control guidance algorithms- Implementation on representative space processor- Worst case analysis of the methods- Conclusions and recommendationsRead more Tender Link : https://esastar-publication-ext.sso.esa.int/ESATenderActions/filter/open
We takes all possible care for accurate & authentic tender information, however Users are requested to refer Original source of Tender Notice / Tender Document published by Tender Issuing Agency before taking any call regarding this tender.
